SUMMARY

• Providing data - driven, action-oriented solutions to challenging business problems
• Business-minded data scientist with a demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods.
• Accomplished communicator skilled in collaborative relationships, conveying big-picture insights, and driving opportunities through team support and success.
• Strong knowledge and comfort with visualization and communication relating to mathematics, machine learning, deep learning, and applied statistics.
• Skilled in trend and relationship identification, interpretation, and translating information into actionable strategies for growth.
• Highly adaptable professional with extensive experience in developing and deploying tools, software, and reports.
• 7 Years of solid python experience.
• 10 Years of data science experience
• 7 Years of software engineering experience in an agile environment.
• 7 Years of the machine learning experience.
• 5 Years of experience in building and deploying Deep Learning projects (supervised, unsupervised and reinforcement learning)
• 6 Years of Computer Vision experience.
• Solid SQL skills for querying relational databases
• MS in Computer Vision from Confidential
• Solid quantitative background with masters in computer science, masters in physics and an undergraduate degree in pure and applied mathematics.

TECHNICAL SKILLS

• Computer Vision
• Complex SQL Queries
• Computational Statistics
• Machine Learning
• Deep Learning
• Anomaly Detection
• Graph-Nets
• Natural Language Processing (NLP)
• Analytics
• Reinforcement Learning
• Optimization of Algorithms
• Strategic Thinking
• Data Integration
• Data Structures
• Data wrangling of structured, unstructured, messy and missing data

PROFESSIONAL EXPERIENCE

Confidential

Data Scientist

Responsibilities:

• Applied various image processing techniques in numerous algorithms such as smoothing Images, eroding and dilating, morphology transformations, extracted horizontal and vertical lines by using morphological operations, used Hit-or-Miss algorithm, applied image pyramids, done various thresholding operations. Made various linear filters. Applied Sobel Derivatives, Laplace Operator, Canny Edge Detector. Used Hough Line, Circle, and Affine Transform. Implemented Histogram Equalization, Calculation, and Comparison. Made use of Image Segmentation with Distance Transform and Watershed Algorithm and Anisotropic image segmentation by a gradient structure tensor.
• Worked and implemented various architecture of convolutional neural network (CNN) like ResNet, AlexNet, VGGNet, Inception
• Created calibration pattern and Interactive camera calibration application
• Created image classification algorithms (various convolution algorithms) to detect pneumonia by using x-rays images of lungs.
• Created image classification algorithms (various convolution algorithms) to detect malaria cells.
• Created an x-rays fault line detector by using YOLO and SSD.
• Done image segmentation on malaria cells images using resnet.
• Done image captioning for Walmart eCommerce site. Inputs were product images and output was descriptions of products.
• Create an algorithm for scene understanding.
• Create face recognition algorithms by using triple loss and various convolutional architectures.
• Created pose estimation algorithm for a video game.
• Experimented with DeepDream and neural style transfer algorithms.

Confidential

Data Scientist

Responsibilities:

• Created various algorithms by using the latest Bert-Transformer architecture and its derivatives algorithms for similarity, text classification, inference and neural machine translation(NMT).
• Worked and implemented the various architecture of recurrent neural network (RNN) like LSTM, GRU, Encoder-Decoder models, Neural Machine translation, Sequence 2 Sequence, Build language models, text classification, Question Answering System, text summarization, entity extraction algorithms

Confidential

Data Scientist

Responsibilities:

• Directed a team of professionals in the delivery of innovative projects for global impact.
• Planned and executed projects for societal health and product development using targeted analysis techniques, including modelling, forecasting, machine algorithms, and computational statistics.
• Developed software, STEEEPA trends, and processes for client companiesSelected Achievements:
• Planned, Organized, Modeled, Standardized, Projected, Visualized health of a society.
• Various blood tests were taken from 1500 individuals this was treated as a sample (just like statistics in the polls), and clustering algorithms and propensity score analysis were applied to segment space generate by features of blood tests and health of the society were referenced by computational statistics and clustering algorithms.
• Conceptualized, Analyzed, Forecasted, Tabulated, Marketed and discovered product categories.
• A periodic survey was conducted. Space was built of the dimensions of demographic & socio-economic indicators of individuals. Segmentation (classification) of this space was done on the product category by using a support vector machine and deep learning algorithms.
• This was done for every product category, and it was done iteratively. This work Developed software to automatically detect fault lines in X-Rays.
• The software was based on representation learning and deep learning.